Using distributed local information to improve global performance in Grids

PAULA VERGHELET; DIEGO FERNÁNDEZ SLEZAK; PABLO G. TURJANSKI; ESTEBAN E. MOCSKOS

CLEI Electronic Journal

Latin-american Center for Informatics Studies

Lugar: Montevideo; Año: 2012 vol. 3 p. 1 - 8

0717-5000

Grid computing refers to the federation of geographically distributed and heterogeneouscomputer resources. These resources may belong to different administrative domains, butare shared among users. Every grid presents a key component responsible for obtaining,distributing, indexing and archiving information about the configuration and state ofservices and resources. Optimizing tasks assignations and user requests to resourcesrequire the maintenance of up-to-date information about the grid.In large scale Grids, the dynamics of the resource information cannot be captured usinga static hierarchy and relying in manual configuration and administration. It is necessaryto design new policies for discovery and propagation of resource information. There isa growing interest in the interaction of Grid Computing and the Peer to Peer (P2P)paradigm, pushing towards scalable solutions.In this work, starting from the Best-Neighbor policy based on previously published ideas,the reasons behind its lack of performance are explored. A new improved Best-Neighborpolicy are proposed and analyzed, comparing it with Random, Hierarchical and Super-Peer policies.